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Detecting Delayed Discharge in Acute Geriatric Unit Using Natural Language Processing

NCT04965480 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2023-02-10

No results posted yet for this study

Summary

Delayed discharge in geriatric units is a health and economic issue. There is no algorithm to automatically measure the appropriateness of admissions or hospital days. 30% of the days of hospitalization in acute geriatric units (AGU) are not appropriate. Waiting for a transfer to a follow-up care and rehabilitation unit (SSR) is the main risk factor for inappropriate days. The purpose of this project is to develop an algorithm using natural language processing to predict the appropriateness of an admission to UGA, or a day at UGA.

Conditions

  • Language
  • Geriatric
  • Older
  • Electronic Health Record

Sponsors & Collaborators

  • Centre Hospitalier Universitaire, Amiens

    lead OTHER

Eligibility

Min Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-07-01
Primary Completion
2023-09-30
Completion
2024-07-31

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04965480 on ClinicalTrials.gov